cloudbadal007/ontology-mcp-self-healing
🔌 MCP Servercloudbadal007
A self-healing multi-agent system using ontologies and MCP to adapt automatically to database schema changes.
The ontology-mcp-self-healing project addresses a critical pain point in AI-driven data systems: the fragility of agents when database schemas change. By utilizing a semantic ontology layer, the system maps data relationships independently of the physical database structure. When a schema change occurs, the MCP-based agents detect the drift, consult the ontology, and dynamically update their interaction logic to maintain continuity.
Key features include a multi-agent architecture where specialized agents handle schema introspection, ontology updates, and query translation. Built with Python and LangChain, the framework provides a modular approach to agentic data management. It allows developers to define business logic in terms of domain concepts rather than rigid SQL tables, making the entire pipeline significantly more resilient to infrastructure updates and schema migrations.
💡Highlights
- ├─Ontology-driven schema adaptation
- ├─MCP-based multi-agent architecture
- └─Automated drift detection & repair
🎯For
- ├─AI Engineers
- ├─Data Architects
- └─Backend Developers